About this role
About us
We are passionate about unlocking the value of data.
We’re a leading enterprise AI development company, providing innovative and advanced AI solutions that empower businesses to achieve their digital transformation goals.
Our cutting-edge AI products are designed to help companies optimize their operations, improve their customer experiences, and gain a competitive edge in today’s fast-paced digital landscape.
With a team of seasoned AI experts and data scientists, AdvanceGuidance leverages the latest AI technologies and methodologies to deliver bespoke solutions tailored to the unique needs of each client.
We offer a comprehensive suite of AI development services, including Natural Language Processing, LLMs, Predictive Analytics, and Machine Learning.
About the team
We are scaling our diverse, and cross functional team in Cape Town and have a well- established local client base. We are primarily focused on international expansion and are currently working on interesting projects in the UK and the US.
People at AG have deep technical expertise, we’re curious and enjoy complex problem solving. We’re interlocked by our core values code and are continuing to build on and further develop our high performing team by offering a learning environment conducive to those with a growth mindset.
About the opportunity
We are seeking a talented and motivated Associate Data Analyst to join our champion team.
The analyst is responsible for interpreting client's data accurately. Our Data Analysts typically work with existing structured data to solve tangible business problems using tools like Excel, SQL or Python programming languages, data visualization software, and statistical analysis.
Your skills
Data literacy: have the ability to derive meaning from data and communicate that meaning to others. Data literacy competencies include the knowledge and skills to read, analyse, interpret, visualise and communicate data as well as to understand the use of data in decision-making.
Data Collection: Analysts are required to be able to collect data themselves through various collection methods. This could include pulling data from clients/3rd parties, conducting surveys, tracking visitor characteristics on a company website, or buying datasets from data collection specialists.
Data Cleaning: An invaluable part of achieving success and one of the most critical steps in assembling any piece of analytics and often comprises a significant chunk of any data analyst’s day. Raw data might contain duplicates, errors, empty rows or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won’t be wrong or skewed.
Analytics: Conducting Diagnostic and Descriptive analytics, and to a lesser extend, predictive analysis. An ability to understand statistical methods and business (client) logic to analyse the business problem to answer business questions and find opportunities.
Interpretation | Visualisation | Present: Find patterns or trends in data that could answer the question at hand that can be translated into actionable insights. This is a key skillset for Data Analysts to be able to translate the numbers into business insight by telling the story. Present data findings by putting together visualisation like charts and graphs, writing reports, and presenting information to stakeholders.
Scripting (Programming): Python/SQL/EXCEL to collect, clean and analyse data to spot trends that can be translated into actionable insights.
ML (Machine Learning): While not all analysts will find themselves working on machine learning projects, having a general understanding of related tools and concepts may give you an edge
Life at AdvanceGuidance
• We are a committed team who values diversity and hard work, whilst on the continuous quest to be the best we can be
• Our hybrid work policy gives us the freedom to navigate our workdays between home and the office. We believe we are ‘stronger together’ and see each other on Wednesday and Fridays
• We are pretty serious about our personal and professional development and offer access to a diverse range of learning platforms
• A Communication allowance for the mobile phone and internet bills
• A collaborative, friendly work community, with regular social events
• Free lunch on Wednesdays
• Time off on your birthday